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All Journal Format : Jurnal Imiah Teknik Informatika TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer International Journal of Engineering Continuity International Journal of Management Science and Application Jurnal Komputer dan Elektro Sains Jurnal Pengabdian Masyarakat Sultan Indonesia
Budi wibowo
Institut Teknologi Budi Utomo
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Pengumpan ikan otomatis untuk budidaya ikan di akuarium berbasis Internet of Things (IOT) Abdulrahman Muhammad; Afuani Huyan; Mahendra Putra; Sapto Daya Hadi Saputra; Budi Wibowo
Jurnal Komputer dan Elektro Sains Vol. 1 No. 2 (2023): Komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v1i2.102

Abstract

Feeding carp manually results in disruption of fish growth so that fish yields are not optimal. If the feed is given too much then the rest of the fish feed will become a source of bacteria. Therefore, it is necessary to design an Internetof Things (IoT)-based carp feeder monitoring sistem that can work automatically based on the time and amount of fish feed that has been determined. In this study, the research method used is the waterfall method. The IoT-based automatic carp feeder monitoring sistem uses a Wemos D1 R1 microcontroller, RTC, LCD, servo motor, ultrasonic sensor, buzzer and Blynk. The results of this study are tools for monitoring automatic feeding at a predetermined time. Fish feed was given twice a day at 6:00 and 18:00 with feed weight 2% of the total fish biomass. Ultrasonic sensor accuracy in reading fish feed distance is 95.63%, accuracy in feeding fish is 90.47%, buzzer accuracy for warning if fish feed is running low is 100%. The amount of fish feed consumed for 3 weeks automatically was 152 grams and 107 grams manually. The difference in fish changes for manual feed is 10 grams and automatically is 15 grams.
IMPLEMENTASI METODE ADASYN DALAM DETEKSI URL BERBAHAYA MENGGUNAKAN MACHINE LEARNING: DEMI MENINGKATKAN KEAMANAN SIBER DI ERA DIGITAL Gilang Dwi Setyawan; Andrie Yuswanto; Ahmad Maulid Ridwan; Budi Wibowo; Maman Firmansyah
TEKNOKOM Vol. 6 No. 2 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/teknokom.v6i2.153

Abstract

Cybercriminals exploit malicious URLs as a distribution channel to spread harmful software across the internet. They take advantage of vulnerabilities in browsers to install malicious software with the aim of gaining remote access to the victims' computers. Typically, this malicious software aims to gain access to networks, steal sensitive information, and silently monitor targeted computer systems. In this research, a data mining approach known as Classification Based on Association (CBA) is employed to detect malicious URLs using both the URL itself and the features of the presented web pages. The CBA algorithm utilizes a training dataset of URLs as historical data to discover association rules that can be used to create an accurate classifier. By detecting dangerous URLs and malicious software, this contribution can assist organizations and individual users in enhancing the security of their computer systems and networks, thereby protecting sensitive data and reducing the risk of security incidents. The experimental results demonstrate that CBA achieves performance on par with tested classification algorithms, achieving an accuracy of 99% and low rates of false positives and false negatives. Future research could expand its focus to detect malicious URLs and software on mobile devices and embedded systems, as they have become significant targets for cybercriminals.
A Review Method for Analysis of the Causes of Data Breach in the Pasca Pandemic Yuswanto, Andrie; wibowo, Budi; Hafiz, Luqman
Jurnal Komputer dan Elektro Sains Vol. 3 No. 1 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i1.205

Abstract

The vulnerability of personal data breaches makes countries aware of the importance of regulations governing the protection of personal data Therefore, the importance of this research is to conduct a systematic review of the causes of data breaches based on the mechanism of activities carried out to answer problems and provide solutions to problems related to information security. The Systematic Literature Review (SLR) method was used to identify 283 papers in IEEE Xplore database, direct and signature digital science library based on automated search and predefined strings. Then 18 papers were selected for study based on inclusion and exclusion criteria. From the literature study, it can be concluded that the trends analyzed, data breaches are caused by user behavior that has not been educated about the dangers of data theft and awareness of information security.
Cyber Resilience to Digital Threats for Education Institutions 4.0 Budi Wibowo; Andrie Yuswanto; Taufik Hidayat; Nadim Ibrahim
International Journal of Management Science and Application Vol. 4 No. 1 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i1.370

Abstract

The emergence of Education 4.0, characterized by personalized learning, smart technologies, and digital interconnectivity, has revolutionized academic environments. However, this digital transformation has simultaneously increased the exposure of educational institutions to sophisticated cyber threats. This research addresses the pressing need for a robust cyber resilience framework tailored to the education sector. Employing a qualitative descriptive methodology, supported by secondary data analysis and case study reviews, the study identifies core vulnerabilities in digital infrastructure, policy shortcomings, and a general lack of cybersecurity awareness among stakeholders. In response, the paper proposes a contextualized cyber resilience framework grounded in layered security principles, zero-trust architecture, and institution-wide digital hygiene initiatives. Key findings indicate that effective cyber resilience in Education 4.0 must be multidimensional, incorporating stringent policy enforcement, continuous digital skills training, and adaptive technological strategies. The primary contribution of this study lies in offering a practical, scalable framework that aligns cybersecurity practices with the evolving demands of digital education. Future research is encouraged to explore real-time implementation metrics, cross-institutional collaborations, and the integration of AI-driven threat detection systems to further strengthen educational cyber resilience.
Enhancing Network Security and Performance using DNS Sinkhole and QoS: A Practical ISO/IEC 27001:2022 Implementation Budi Wibowo; Taufik Hidayat; Andrie Yuswanto; Aji Nurrohman
International Journal of Management Science and Application Vol. 4 No. 2 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i2.421

Abstract

This study aims to design and validate a low-cost network security model based on open-source solutions by integrating Pi-hole and Quality of Service (QoS) as a technical implementation of ISO/IEC 27001:2022 controls for resource-constrained organizations. The implementation results demonstrate a significant improvement in security posture by blocking 14.1% of malicious and irrelevant DNS queries, while simultaneously enhancing network performance by reducing critical application latency by 45%. The key advantage of this model lies in its cost efficiency and its dual benefits of improved security and optimized performance within a single framework. However, the study also identifies limitations, particularly the potential for false positives that require manual whitelist management and reliance on trained personnel to ensure operational sustainability. The main contribution of this research is the provision of a simple, cost-effective, and standards-compliant technical framework, while also introducing a mathematical formulation to assess the trade-offs between security, performance, and cost. Future directions include integrating Intrusion Detection/Prevention Systems (IDS/IPS) for layered Defense and replicating the model into a turnkey security appliance that can be widely adopted by other organizations facing similar challenges.
An Energy-Efficient ESP32 IoT System for Real-Time Detection of WiFi Deatuhentication Attacks Faizal Riza; Dannie Febrianto Hendrakusuma; Budi Wibowo
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.433

Abstract

WiFi deauthentication attacks pose a serious threat to users on public WiFi networks by forcibly disconnecting them from access points, often as a prelude to man-in-the-middle exploits. To counter this threat, we developed an energy-efficient ESP32-based IoT system that monitors WiFi traffic in real time to identify deauthentication attack patterns. The device captures deauthentication frames in monitor mode and immediately notifies users through on-device audible/visual alarms (buzzer, LED/OLED) and digital channels (MQTT dashboard and Telegram bot). Experimental evaluation under moderate and high attack scenarios demonstrated robust performance: detection accuracy remained above 97% even under heavy attack traffic (97.8% at peak intensity). Furthermore, the system’s duty-cycled design limited average power consumption to ~79 mA (~30% lower than continuous monitoring) and achieved a rapid notification latency of ~270 ms, confirming real-time responsiveness. By combining physical indicators with online alerts, the system effectively warns users and improves public digital security literacy by making cyber threats immediately visible and understandable. Overall, these results establish the proposed system as a low-power, real-time attack detection solution that enhances WiFi network security and user awareness.
Optimalisasi Bot Telegram untuk Deteksi Situs Perjudian Online di Dunia Pendidikan dan Sektor Pemerintah Budi wibowo; Annisa Fathl Jannah; Luqman Hafiz
Jurnal Pengabdian Masyarakat Sultan Indonesia Vol. 2 No. 1 (2025): Abdisultan
Publisher : Sultan Publsiher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/abdisultan.v2i1.316

Abstract

Maraknya perjudian online telah menjadi ancaman yang signifikan terhadap keamanan digital, terutama untuk situs web pemerintah dan institusi pendidikan. Situs-situs ini, yang sering menjadi sasaran penjahat siber untuk menampung konten terkait perjudian, membuat pengguna terpapar pada berbagai risiko online. Penelitian ini menyajikan pengembangan bot Telegram yang bertujuan untuk mendeteksi situs perjudian online di situs web pemerintah dan institusi pendidikan. Bot ini menggunakan teknik dorking untuk mencari pola spesifik yang mengindikasikan konten perjudian online, memberikan peringatan waktu nyata kepada pengguna ketika situs tersebut teridentifikasi. Tujuan utama dari aplikasi ini adalah untuk meningkatkan kesadaran tentang bahaya perjudian online dan mempromosikan literasi keamanan siber, terutama di kalangan pelajar dan pengguna muda. Dengan mengirimkan notifikasi langsung ke Telegram, bot memastikan bahwa pengguna menerima pembaruan langsung tentang potensi ancaman, mendorong pendekatan proaktif terhadap keamanan online. Penelitian ini menyoroti pentingnya penggunaan teknologi untuk menjembatani kesenjangan dalam literasi digital dan menumbuhkan budaya kesadaran keamanan siber, terutama di lingkungan pendidikan. Temuan ini menunjukkan bahwa perangkat semacam itu dapat memainkan peran penting dalam mengedukasi pengguna dan melindungi mereka dari praktik-praktik online yang berbahaya, yang pada akhirnya berkontribusi pada pengembangan lingkungan internet yang lebih aman.
Design and Evaluation of an Automatic Roof Drive Prototype in Optimizing Tomato Cultivation Budi Wibowo; Affan Nawly Tanjung; Nur Afandi; Tio Dwi Ananpasha; Taufik Hidayat
Jurnal Komputer dan Elektro Sains Vol. 3 No. 2 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i2.286

Abstract

This study introduces the design and evaluation of an automatic roof drive prototype aimed at optimizing tomato cultivation. Developed to address the challenges of erratic weather, the system seeks to enhance the efficiency of tomato farming. The prototype integrates a weather sensor, microcontroller, and roof drive mechanism, allowing it to operate automatically based on real-time environmental conditions. Effectiveness was assessed through field trials measuring key growth parameters such as plant height, fruit number, and fruit quality. Results indicate that the automatic roof drive system significantly improves both the productivity and quality of tomato crops. Additionally, the system effectively mitigates losses due to extreme weather conditions, including heavy rain and excessive heat. These findings highlight the potential of automated roof drive technology to support more efficient and sustainable agriculture. Future work will focus on refining the system for broader applications and integrating advanced technologies such as IoT and machine learning for further optimization.
Smart Aquaculture: Automated Fish Feeding with Blynk Alerts Budi Wibowo; Nida Pristyan Ramadhani; Fachri Alfianza; Febriano Anggawa Rizky; Taufik Hidayat
Jurnal Komputer dan Elektro Sains Vol. 3 No. 2 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i2.299

Abstract

Rapid developments in aquaculture have driven the need for efficient and sustainable feeding systems. This study presents the design and implementation of an automatic fish feeder using the Wokwi platform, integrated with the Blynk application. The system aims to deliver feed at optimal intervals and quantities, improving fish growth while minimizing waste. The research utilizes ESP32 as the main controller and servo motors to operate the feeder mechanism. Feeding schedules can be remotely controlled via the Blynk mobile app, allowing for flexible and precise feed management. Testing results indicate that the system consistently provides accurate feed portions at designated intervals, demonstrating reliability and ease of use. This automated feeder offers a cost-effective and environmentally friendly solution for aquaculture, reducing the labor and inefficiencies associated with manual feeding. Consequently, this innovation represents a significant advancement in aquaculture technology, promoting sustainable practices and enhancing overall operational efficiency.
Design of Prototype Temperature and Humidity Control System for Oyster Mushroom Barns Integrated with ThingsBoard for Real-Time Monitoring Riko Adytia Anggara; Budi wibowo; Muhamad Riko Arafi; Mudrika Afdila
Jurnal Komputer dan Elektro Sains Vol. 3 No. 2 (2025): komets
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/komets.v3i2.304

Abstract

Oyster mushrooms grow optimally at 24-27°C and 80-95% relative humidity. Environmental conditioning through manual spraying water in the mushroom barn in the morning and evening is considered less effective and requires high effort. The application of technology in mushroom cultivation can help control temperature and humidity automatically. This study aims to design an automatic control system to regulate temperature and humidity in oyster mushroom farms. The research was conducted at an altitude of 125 meters above sea level with an automatic control system that has a setpoint temperature of 24-27 ° C and humidity of 80-95%. The test was conducted in a 4 × 2 × 2 m mushroom barn with a capacity of 600 mushroom bag logs. The performance test results showed that the daily temperature and humidity without control ranged from 24.10-35.19 °C and 64.28-99.90%. In contrast, with automatic control, daily temperature and humidity were recorded between 25.10-30.09 °C and 80.84-99.90%. This study shows that the automatic control system Effectively maintains optimal environmental conditions for oyster mushroom growth.
Co-Authors Abdulrahman Muhammad Abdur Rohman Ardi Agung Affan Nawly Tanjung Afuani Huyan Ahmad Maulid Ridwan Aji Nurrohman Aji Susanto Andi Tri Setyohadi Andrie Yuswanto Andrie Yuswanto Annisa Fathl Jannah Dannie Febrianto Hendrakusuma Deny Danu Prasetia Fachri Alfianza Faizal Riza Febriano Anggawa Rizky Fyan Isra Wardanu Gilang Dwi Setyawan Hadid Imron Hafiz, Luqman Lela Mariya Luqman Hafiz Luqman Hafiz Mahendra Putra Maman Firmansyah Michael Angello Handoko Putra Mohammad Ibrahim Mudrika Afdila Muhamad Riko Arafi Nadim Ibrahim Nida Pristyan Ramadhani Nur Afandi Qhansa Aditia Riko Adytia Anggara Santi Rahmawati Sapto Daya Hadi Saputra Sarah Azzahra Suka Hermawan Taufik Hidayat Tio Dwi Ananpasha Tommy Adhitya Toto Dwi Sugiarto Yuswanto, Andrie